{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tips"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introduction:\n",
    "\n",
    "This exercise was created based on the tutorial and documentation from [Seaborn](https://stanford.edu/~mwaskom/software/seaborn/index.html)  \n",
    "The dataset being used is tips from Seaborn.\n",
    "\n",
    "### Step 1. Import the necessary libraries:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# visualization libraries\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "# print the graphs in the notebook\n",
    "% matplotlib inline\n",
    "\n",
    "# set seaborn style to white\n",
    "sns.set_style(\"white\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/07_Visualization/Tips/tips.csv). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3. Assign it to a variable called tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  total_bill   tip     sex smoker  day    time  size\n",
       "0           0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1           1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2           2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3           3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4           4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 4. Delete the Unnamed 0 column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 5. Plot the total_bill column histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3cWvGeLl+vXB7DgXGc889R0ZGBmPGyBRBb2Mfv0gIc3El7isgQIdOH9xv24yJ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\ngSGEEMIh/w9kO9eQWjBZ9gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x178171f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 6. Create a scatter plot presenting the relationship between total_bill and tip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1197d84d0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RaVBMg6lPnz5YvXq1e/vQoUO46qqrAADXXXcddu/eHcvDE1GCMlmbsXLjPjy+agdWbtwH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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11904aa50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 7.  Create one image with the relationship of total_bill, tip and size.\n",
    "#### Hint: It is just one function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x11844c090>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WBr0Oc616XLYPwu4cQl3D8FblJoMOG67Px9ry+YjXabG2PAd25xAS9Tr09A3i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\niIhE+//yIo6VcM5ynAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1192acb50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 8. Present the relationship between days and total_bill value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uVZxFQ7rtdM1dVVV0lJTiE3fuawfk//0ZOku7h3W2FxRQ8MLLjPvDo/1Zpugn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\niYiIPAiDm4iIyIMwuImIiDzI/wPvE39ImLp8oAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x179414f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 9. Create a scatter plot with the day as the y-axis and tip as the x-axis, differ the dots by sex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zsmz04ouuV21LPZWtNdhsNhRFcdpWWN7Ao6/toKHJCMDgMc3kqLYCUNdSz192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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x179e40310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 10.  Create a box plot presenting the total_bill per day differetiation the time (Dinner or Lunch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9pfLycg0ZMkSbNm3S5MmTVVZWJknauHGjVq5cqa+++kr33HOPZsyYoTvuuEPz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\nmfnjav8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17906de90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 11. Create two histograms of the tip value based for Dinner and Lunch. They must be side by side."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11989e910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 12. Create two scatterplots graphs, one for Male and another for Female, presenting the total_bill value and tip relationship, differing by smoker or no smoker\n",
    "### They must be side by side."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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U8Otf/7pJxxFCiOYS7fNtW7J77rmHl156iX/961/0798fpRS9e/dG0zRSUlKCscrn85GT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\nQgghIkACrhBCCBEBEnCFEEKICPj/W9lawU2VX7YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x178d4b650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BONUS: Create your own question and answer it using a graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
